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90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
from __future__ import division, absolute_import, print_function
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import numpy as np
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from numpy.testing import (
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assert_, assert_array_equal, assert_allclose, suppress_warnings
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)
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class TestRegression(object):
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def test_masked_array_create(self):
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# Ticket #17
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x = np.ma.masked_array([0, 1, 2, 3, 0, 4, 5, 6],
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mask=[0, 0, 0, 1, 1, 1, 0, 0])
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assert_array_equal(np.ma.nonzero(x), [[1, 2, 6, 7]])
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def test_masked_array(self):
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# Ticket #61
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np.ma.array(1, mask=[1])
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def test_mem_masked_where(self):
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# Ticket #62
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from numpy.ma import masked_where, MaskType
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a = np.zeros((1, 1))
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b = np.zeros(a.shape, MaskType)
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c = masked_where(b, a)
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a-c
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def test_masked_array_multiply(self):
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# Ticket #254
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a = np.ma.zeros((4, 1))
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a[2, 0] = np.ma.masked
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b = np.zeros((4, 2))
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a*b
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b*a
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def test_masked_array_repeat(self):
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# Ticket #271
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np.ma.array([1], mask=False).repeat(10)
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def test_masked_array_repr_unicode(self):
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# Ticket #1256
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repr(np.ma.array(u"Unicode"))
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def test_atleast_2d(self):
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# Ticket #1559
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a = np.ma.masked_array([0.0, 1.2, 3.5], mask=[False, True, False])
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b = np.atleast_2d(a)
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assert_(a.mask.ndim == 1)
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assert_(b.mask.ndim == 2)
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def test_set_fill_value_unicode_py3(self):
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# Ticket #2733
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a = np.ma.masked_array(['a', 'b', 'c'], mask=[1, 0, 0])
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a.fill_value = 'X'
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assert_(a.fill_value == 'X')
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def test_var_sets_maskedarray_scalar(self):
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# Issue gh-2757
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a = np.ma.array(np.arange(5), mask=True)
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mout = np.ma.array(-1, dtype=float)
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a.var(out=mout)
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assert_(mout._data == 0)
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def test_ddof_corrcoef(self):
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# See gh-3336
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x = np.ma.masked_equal([1, 2, 3, 4, 5], 4)
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y = np.array([2, 2.5, 3.1, 3, 5])
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# this test can be removed after deprecation.
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning, "bias and ddof have no effect")
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r0 = np.ma.corrcoef(x, y, ddof=0)
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r1 = np.ma.corrcoef(x, y, ddof=1)
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# ddof should not have an effect (it gets cancelled out)
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assert_allclose(r0.data, r1.data)
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def test_mask_not_backmangled(self):
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# See gh-10314. Test case taken from gh-3140.
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a = np.ma.MaskedArray([1., 2.], mask=[False, False])
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assert_(a.mask.shape == (2,))
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b = np.tile(a, (2, 1))
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# Check that the above no longer changes a.shape to (1, 2)
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assert_(a.mask.shape == (2,))
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assert_(b.shape == (2, 2))
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assert_(b.mask.shape == (2, 2))
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def test_empty_list_on_structured(self):
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# See gh-12464. Indexing with empty list should give empty result.
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ma = np.ma.MaskedArray([(1, 1.), (2, 2.), (3, 3.)], dtype='i4,f4')
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assert_array_equal(ma[[]], ma[:0])
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